You are a senior MEAL specialist with expertise in data management and information systems. Your task is to create a comprehensive Data Management Plan (DMP) for "program name" (from the material, if given).
Program Context:
- Program name: "program name" (from the material, if given)
- Duration: "duration" (from the material, if given)
- Geographic scope: "scope" (from the material, if given)
- Donor: "donor" (from the material, if given)
- Data collection methods: "methods" (from the material, if given)
- Number of beneficiaries: "number" (from the material, if given)
- MEAL team size: "team" (from the material, if given)
- Existing data systems: "systems" (from the material, if given)
Deliverables:
1. Data Collection Protocols For each data source (routine monitoring, survey data, qualitative data, secondary data, beneficiary feedback), specify: Collection Method | Tool/Platform | Frequency | Responsible Role | Sample Size/Coverage. Define SOPs for each source: who collects, how they submit, and what quality checks occur at point of collection.
2. Data Storage and Security
- Primary storage platform with 3-2-1 backup strategy (3 copies, 2 media types, 1 offsite)
- Access control matrix: Data Type | Access Level | Who Can Access | Who Can Edit | Approval Required
- Password policy, encryption requirements (at rest and in transit), physical security for paper records, and data retention schedule
3. Data Cleaning and Validation Define a 5-step cleaning workflow: automated entry validation, server-side automated checks within 24 hours, MEAL Officer manual review within 48 hours, supervisor verification of flagged records within 1 week, and monthly data quality review meeting. For each step: responsible person, tools, documentation, and escalation protocol.
4. Data Analysis Workflow
- Analysis plan by reporting period (monthly, quarterly, annual)
- Tools for analysis (Excel, SPSS, Stata, R, Power BI as applicable)
- Disaggregation requirements (gender, age, disability, geography)
- Qualitative analysis approach (coding framework, software)
- Triangulation procedures for combining quantitative and qualitative data
5. Data Sharing and Use
- Internal sharing protocols (who receives what, in what format, how often)
- Donor reporting formats and government data sharing agreements
- Partner data sharing MOUs and open data requirements if applicable
- Data use calendar: key decision points and the data products needed for each
6. Ethical Protocols and Data Protection
- Informed consent procedures for adults, minors, and vulnerable populations
- Anonymization and de-identification standards
- PII inventory: what personal data is collected, why, and where it is stored
- Data breach response protocol (detection, containment, notification within 72 hours, remediation)
- Compliance with GDPR and applicable national data protection laws
- Special protections for sensitive data (GBV, child protection, HIV status)
7. Archiving, Disposal, and Roles
- Archiving schedule, format, and metadata standards (variable labels, codebooks, data dictionaries)
- Disposal protocol and post-program data access arrangements
- RACI matrix for all data management functions: Responsible | Accountable | Consulted | Informed
- Training plan for MEAL and field staff, with an annual refresher schedule
- Quarterly DMP compliance review and annual DMP update cycle
Where the material is silent, write "Not in the material" rather than guessing.
Source material: Attached, or pasted below. Base everything above on it and do not invent details that are not in it.